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Geometric and statistical interpretation of correlation between fault tests in integrated GPS/INS systems / Ali Almagbile in Journal of applied geodesy, vol 13 n° 3 (July 2019)  

Public [article]  inJournal of applied geodesy > vol 13 n° 3 (July 2019) . - pp 267 – 278 Titre : Geometric and statistical interpretation of correlation between fault tests in integrated GPS/INS systems Type de document : Article/Communication Auteurs : Ali Almagbile, Auteur Année de publication : 2019 Article en page(s) : pp 267 – 278 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale [Termes descripteurs IGN] coefficient de corrélation [Termes descripteurs IGN] détection d'erreur [Termes descripteurs IGN] données GPS [Termes descripteurs IGN] erreur de positionnement [Termes descripteurs IGN] fiabilité des données [Termes descripteurs IGN] GPS-INS [Termes descripteurs IGN] incertitude géométrique Résumé : (auteur) Fault detection and identification (FDI) in either a stand-alone GPS or in integrated GPS/INS systems is essential for improving the quality of positioning, navigation, and many other applications. The assumption that the observations include a single fault has been considered intensively in literature. However, this assumption may not necessarily be valid due to the fact that multiple faults may exist simultaneously. In this study, separability of multiple faults in GPS/INS integration systems has been analysed geometrically and statistically. This has been achieved through testing how large correlation coefficient between any pair of fault tests statistics increases the probability of faults misidentification. In addition, a new calculation procedure of correlation coefficient when four faults appear in the observations has been developed. This procedure considers calculation the correlation between a single and a punch of measurements combined together. The results show that there is a strong relationship between the value of correlation coefficient and the probability of misidentification. Furthermore, a significant relationship between the correlation and the fault test values can be found when splitting the measurements combinations into groups based on the combination similarity. Nevertheless, this relationship can be defined without splitting the measurements into groups when using a new correlation procedure for four faults case. The geometric representation shows that large correlation coefficient reflects small angle between the correlation and the x-axis; whereas the angle between the fault-test vectors and the x-axis becomes wider when a tiny correlation exist. Numéro de notice : A2019-287 Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1515/jag-2019-0008 date de publication en ligne : 05/06/2019 En ligne : https://doi.org/10.1515/jag-2019-0008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93123 [article]

The influence of artificial illumination of invar levelling rods / Štefan Rákay in Geodetski vestnik, vol 62 n° 4 (December 2018 - February 2019)  

Public [article]  inGeodetski vestnik > vol 62 n° 4 (December 2018 - February 2019) . - pp 619 - 629 Titre : The influence of artificial illumination of invar levelling rods Type de document : Article/Communication Auteurs : Štefan Rákay, Auteur ; Slavomír Labant, Auteur ; Karol Bartoš, Auteur ; Katarína Pukanská, Auteur Année de publication : 2018 Article en page(s) : pp 619 - 629 Note générale : bibliographie Langues : Anglais (eng) Slovène (slv) Descripteur : [Vedettes matières IGN] Nivellement [Termes descripteurs IGN] angle d'incidence [Termes descripteurs IGN] détecteur à transfert de charge [Termes descripteurs IGN] détection d'erreur [Termes descripteurs IGN] éclairement lumineux [Termes descripteurs IGN] erreur en altitude [Termes descripteurs IGN] erreur systématique [Termes descripteurs IGN] mire de nivellement [Termes descripteurs IGN] niveau numérique [Termes descripteurs IGN] stadia Invar Résumé : (auteur) Since the digital levels operate on the principle of image processing of the bar code of levelling rod, recorded by a CCD sensor, the proper lighting (i.e. illumination of the bar code) is important to achieve accurate results. The prevention of inappropriate lighting conditions is important for the correct recording of the image of bar code section. This paper examines the systematic error as a function of the angle of incidence at which an bar code is illuminated by artificial lighting in low light conditions. Further, the procedure of measurements and the analysis of results for the identification of such errors is proposed. The results of experimental measurements highlight the inappropriateness of bar code illumination at an angle of incidence of more than about 45 °. From the practical measurements, it was found that the angle of incidence 55 ° corresponds to an error of about 0.02 mm, which is twice as much as the resolution of the height measurement determined by the manufacturer. Numéro de notice : A2019-015 Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.15292/geodetski-vestnik.2018.04.619-629 date de publication en ligne : 30/11/2018 En ligne : https://doi.org/10.15292/geodetski-vestnik.2018.04.619-629 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91624 [article]

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A Stepwise-Then-Orthogonal Regression (STOR) with quality control for optimizing the RFM of high-resolution satellite imagery / Chang Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 9 (September 2017)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 9 (September 2017) . - pp 611 - 620 Titre : A Stepwise-Then-Orthogonal Regression (STOR) with quality control for optimizing the RFM of high-resolution satellite imagery Type de document : Article/Communication Auteurs : Chang Li, Auteur ; Non-répertorié, Auteur ; Yongjun Zhang, Auteur ; Zuxun Zhang, Auteur Année de publication : 2017 Article en page(s) : pp 611 - 620 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] contrôle qualité [Termes descripteurs IGN] détection d'erreur [Termes descripteurs IGN] distance orthogonale [Termes descripteurs IGN] erreur aléatoire [Termes descripteurs IGN] image à haute résolution [Termes descripteurs IGN] image SPOT 5 [Termes descripteurs IGN] modèle par fonctions rationnelles [Termes descripteurs IGN] régression Résumé : (auteur) There are two major problems in Rational Function Model (RFM) solution: (a) Data source error, including gross error, random error, and systematic error; and (b) Model error, including over-parameterization and over-correction issues caused by unnecessary RFM parameters and exaggeration of random error in constant term of error-in-variables (EIV) model, respectively. In order to solve two major problems simultaneously, we propose a new approach named stepwise-then-orthogonal regression (STOR) with quality control. First, RFM parameters are selected by stepwise regression with gross error detection. Second, the revised orthogonal distance regression is utilized to adjust random error and address the overcorrection problem. Third, systematic error is compensated by Fourier series. The performance of conventional strategies and the proposed STOR are evaluated by control and check grids generated from SPOT5 high-resolution imagery. Compared with the least squares regression, partial least squares regression, ridge regression, and stepwise regression, the proposed STOR shows a significant improvement in accuracy. Numéro de notice : A2017-598 Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.9.611 En ligne : https://doi.org/10.14358/PERS.83.9.611 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86874 [article]

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An attempt to determine the effect of increase of observation correlations on detectability and identifiability of a single gross error / Witold Proszynski in Geodesy and cartography, vol 65 n° 2 (December 2016)  

Public [article]  inGeodesy and cartography > vol 65 n° 2 (December 2016) . - pp 313 - 333 Titre : An attempt to determine the effect of increase of observation correlations on detectability and identifiability of a single gross error Type de document : Article/Communication Auteurs : Witold Proszynski, Auteur ; Mieczysław Kwaśniak, Auteur Année de publication : 2016 Article en page(s) : pp 313 - 333 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques [Termes descripteurs IGN] algorithme de décalage moyen [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] cohérence des données [Termes descripteurs IGN] corrélation [Termes descripteurs IGN] détection d'erreur [Termes descripteurs IGN] fiabilité des données [Termes descripteurs IGN] valeur aberrante Résumé : (auteur) The paper presents the results of investigating the effect of increase of observation correlations on detectability and identifiability of a single gross error, the outlier test sensitivity and also the response-based measures of internal reliability of networks. To reduce in a research a practically incomputable number of possible test options when considering all the non-diagonal elements of the correlation matrix as variables, its simplest representation was used being a matrix with all non-diagonal elements of equal values, termed uniform correlation. By raising the common correlation value incrementally, a sequence of matrix configurations could be obtained corresponding to the increasing level of observation correlations. For each of the measures characterizing the above mentioned features of network reliability the effect is presented in a diagram form as a function of the increasing level of observation correlations. The influence of observation correlations on sensitivity of the w-test for correlated observations (Förstner 1983, Teunissen 2006) is investigated in comparison with the original Baarda’s w-test designated for uncorrelated observations, to determine the character of expected sensitivity degradation of the latter when used for correlated observations. The correlation effects obtained for different reliability measures exhibit mutual consistency in a satisfactory extent. As a by-product of the analyses, a simple formula valid for any arbitrary correlation matrix is proposed for transforming the Baarda’s w-test statistics into the w-test statistics for correlated observations. Numéro de notice : A2016-980 Thématique : MATHEMATIQUE/POSITIONNEMENT Nature : Article En ligne : https://doi.org/10.1515/geocart-2016-0018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83697 [article]

An effective toolkit for the interpolation and gross error detection of GPS time series / X. Wang in Survey review, vol 48 n° 348 (May 2016)  

Public [article]  inSurvey review > vol 48 n° 348 (May 2016) . - pp 202 - 211 Titre : An effective toolkit for the interpolation and gross error detection of GPS time series Type de document : Article/Communication Auteurs : X. Wang, Auteur ; Y. Cheng, Auteur ; S. Wu, Auteur ; K. Zhang, Auteur Année de publication : 2016 Article en page(s) : pp 202 - 211 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse de spectre singulier [Termes descripteurs IGN] coordonnées GPS [Termes descripteurs IGN] détection d'erreur [Termes descripteurs IGN] interpolation [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] reconstruction [Termes descripteurs IGN] série temporelle [Vedettes matières IGN] Traitement de données GNSS Résumé : (auteur) As data gaps and gross errors inevitably exist in GPS time series, robust detection and interpolation procedures are needed to obtain a uniform time series for various geospatial studies and applications. The use of traditional methods for this purpose is usually based on some improper assumptions, which are not derived based on the real properties of the data. Moreover, different interpolation methods may need to be investigated for interpolation for various gaps with different types and amount of missing data. These make the interpolation for missing data not easy. To address the issue of mentioned above, in this study, a data-analysis method named singular spectrum analysis (SSA) for missing data is assessed for reconstructing a reliable model from unevenly sampled time series without the need for any a priori knowledge of the time series data. In this method, the interpolation and detection of gross errors are carried out in one go along with the reliable reconstructed model. Both simulation data and real GPS data testing results showed that this was an efficient method for interpolation and gross error detection. Numéro de notice : A2016-276 Thématique : POSITIONNEMENT Nature : Article DOI : 10.1179/1752270615Y.0000000023 En ligne : http://doi.org/10.1179/1752270615Y.0000000023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80830 [article]

Analysis of a GNSS network using the theory of reliability for multiple outliers / M Mustafa Berber in Geodetski vestnik, vol 59 n° 3 (September - November 2015)  

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Detection of systematic displacements in spatial databases using linear elements / A. Mozas-Calvache in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)  

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Hyperspectral-based adaptive matched filter detector error as a function of atmospheric water vapor estimation / Allan W. Yarbrough in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)

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Quality evaluation of 3D city building Models with automatic error diagnosis / Jean-Christophe Michelin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-7 W2 (2013)  

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Analyse rapide et robuste des solutions GPS pour la tectonique / Dinh Trong Tran (2013)  

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Terrestrial laser scan error in the presence of dense ground vegetation / S. Coveney in Photogrammetric record, vol 26 n° 135 (September - November 2011)

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L'apport des données GPS AMMA pour l'étude du cycle de l'eau de la mousson africaine / Olivier Bock in Bulletin d'information scientifique et technique de l'IGN, n° 77 (avril 2011)

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Biais et dérives dans l'altimétrie satellitale à partir de comparaisons avec des marégraphes co-localisés avec des stations GPS / Médéric Gravelle (2010) 

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Finding anomalies in high-density Lidar point clouds / J. Harrison in Geomatica, vol 63 n° 4 (December 2009)

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A closer look at the Tau Criterion as a method of blunder detection within a differential leveling network least squares adjustment / J. Gabor in SaLIS Surveying and land information science, vol 69 n° 2 (Summer 2009)

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